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135 lines (126 loc) · 4.81 KB
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import boto3
import json
import logging
import time
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)
ssm_client = boto3.client("ssm")
LIFECYCLE_KEY = "LifecycleHookName"
ASG_KEY = "AutoScalingGroupName"
EC2_KEY = "EC2InstanceId"
DOCUMENT_NAME = "ASGLogBackup"
RESPONSE_DOCUMENT_KEY = "DocumentIdentifiers"
def check_response(response_json):
try:
if response_json['ResponseMetadata']['HTTPStatusCode'] == 200:
return True
else:
return False
except KeyError:
return False
def list_document():
document_filter_parameters = {'key': 'Name', 'value': DOCUMENT_NAME}
response = ssm_client.list_documents(
DocumentFilterList=[ document_filter_parameters ]
)
return response
def check_document():
# If the document already exists, it will not create it.
try:
response = list_document()
if check_response(response):
logger.info("Documents list: %s", response)
if response[RESPONSE_DOCUMENT_KEY]:
logger.info("Documents exists: %s", response)
return True
else:
return False
else:
logger.error("Documents' list error: %s", response)
return False
except Exception, e:
logger.error("Document error: %s", str(e))
return None
def send_command(instance_id):
# Until the document is not ready, waits in accordance to a backoff mechanism.
while True:
timewait = 1
response = list_document()
if any(response[RESPONSE_DOCUMENT_KEY]):
break
time.sleep(timewait)
timewait += timewait
try:
response = ssm_client.send_command(
InstanceIds = [ instance_id ],
DocumentName = DOCUMENT_NAME,
TimeoutSeconds = 120
)
if check_response(response):
logger.info("Command sent: %s", response)
return response['Command']['CommandId']
else:
logger.error("Command could not be sent: %s", response)
return None
except Exception, e:
logger.error("Command could not be sent: %s", str(e))
return None
def check_command(command_id, instance_id):
timewait = 1
while True:
response_iterator = ssm_client.list_command_invocations(
CommandId = command_id,
InstanceId = instance_id,
Details=False
)
if check_response(response_iterator):
if response_iterator['CommandInvocations']:
response_iterator_status = response_iterator['CommandInvocations'][0]['Status']
if response_iterator_status != 'Pending':
if response_iterator_status == 'InProgress' or response_iterator_status == 'Success':
logging.info( "Status: %s", response_iterator_status)
return True
else:
logging.error("ERROR: status: %s", response_iterator)
return False
time.sleep(timewait)
timewait += timewait
def abandon_lifecycle(life_cycle_hook, auto_scaling_group, instance_id):
asg_client = boto3.client('autoscaling')
try:
response = asg_client.complete_lifecycle_action(
LifecycleHookName=life_cycle_hook,
AutoScalingGroupName=auto_scaling_group,
LifecycleActionResult='ABANDON',
InstanceId=instance_id
)
if check_response(response):
logger.info("Lifecycle hook abandoned correctly: %s", response)
else:
logger.error("Lifecycle hook could not be abandoned: %s", response)
except Exception, e:
logger.error("Lifecycle hook abandon could not be executed: %s", str(e))
return None
def lambda_handler(event, context):
try:
logger.info(json.dumps(event))
message = event['detail']
if LIFECYCLE_KEY in message and ASG_KEY in message:
life_cycle_hook = message[LIFECYCLE_KEY]
auto_scaling_group = message[ASG_KEY]
instance_id = message[EC2_KEY]
if check_document():
command_id = send_command(instance_id)
if command_id != None:
if check_command(command_id, instance_id):
logging.info("Lambda executed correctly")
else:
abandon_lifecycle(life_cycle_hook, auto_scaling_group, instance_id)
else:
abandon_lifecycle(life_cycle_hook, auto_scaling_group, instance_id)
else:
abandon_lifecycle(life_cycle_hook, auto_scaling_group, instance_id)
else:
logging.error("No valid JSON message: %s", parsed_message)
except Exception, e:
logging.error("Error: %s", str(e))